Worsey-Farin分裂上的离散弹性精确序列

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Esaim-Probability and Statistics Pub Date : 2023-10-17 DOI:10.1051/m2an/2023084
Sining Gong, Jay Gopalakrishnan, Johnny Guzmán, Michael Neilan
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引用次数: 0

摘要

我们在三维Worsey-Farin分裂上构造了一致的有限元弹性复合体。位移、应变、应力和载荷的空间通过表示变形、不相容和散度的微分算子在弹性复合体中连接起来。对于每一个分量空间,在Worsey-Farin网格上显示一个相应的有限元空间。为这些有限单元开发了非溶自由度,这也产生了光滑函数上的交换(协链)投影。这些复合体空间的一个显著特征是在网格的子简形体上缺乏外在的超光滑性。值得注意的是,该复合体产生了第一个(强)对称应力有限元,在三维中没有顶点或边缘自由度。此外,最低阶应力空间仅使用分段线性函数,这是应力空间的最低可行多项式次。
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Discrete elasticity exact sequences on Worsey-Farin splits
We construct conforming finite element elasticity complexes on Worsey-Farin splits in three dimensions. Spaces for displacement, strain, stress, and the load are connected in the elasticity complex through the differential operators representing deformation, incompatibility, and divergence. For each of these component spaces, a corresponding finite element space on Worsey-Farin meshes is exhibited. Unisolvent degrees of freedom are developed for these finite elements, which also yields commuting (cochain) projections on smooth functions. A distinctive feature of the spaces in these complexes is the lack of extrinsic supersmoothness at subsimplices of the mesh. Notably, the complex yields the first (strongly) symmetric stress finite element with no vertex or edge degrees of freedom in three dimensions. Moreover, the lowest order stress space uses only piecewise linear functions which is the lowest feasible polynomial degree for the stress space.
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来源期刊
Esaim-Probability and Statistics
Esaim-Probability and Statistics STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: The journal publishes original research and survey papers in the area of Probability and Statistics. It covers theoretical and practical aspects, in any field of these domains. Of particular interest are methodological developments with application in other scientific areas, for example Biology and Genetics, Information Theory, Finance, Bioinformatics, Random structures and Random graphs, Econometrics, Physics. Long papers are very welcome. Indeed, we intend to develop the journal in the direction of applications and to open it to various fields where random mathematical modelling is important. In particular we will call (survey) papers in these areas, in order to make the random community aware of important problems of both theoretical and practical interest. We all know that many recent fascinating developments in Probability and Statistics are coming from "the outside" and we think that ESAIM: P&S should be a good entry point for such exchanges. Of course this does not mean that the journal will be only devoted to practical aspects.
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